Penetration fuze layer metering method and system based on geomagnetic field magnetic anomaly signal

Abstract

The invention discloses a penetration process identification method and system based on geomagnetic field magnetic anomaly signals, and the method comprises the steps: building a three-axis magnetic anomaly signal detection sensor array in a penetration fuze, enabling the internal magnetic field intensity of the fuze to change along with the external magnetic field of a penetration bullet when the penetration bullet penetrates a target containing a steel bar, generating a target penetrating response signal, and carrying out the recognition of the penetration process. A magnetic sensor array is used for detecting a target penetrating response signal, the target penetrating response signal is converted into a voltage signal to be output, then an original voltage signal is amplified, a three-axis magnetic sensor signal is fused, the influence of an interference signal is filtered out, and a low-noise pulse type voltage signal is obtained; according to the system, through mutual cooperation of the three-axis sensor array module, the magnetic signal detection module, the three-axis magnetic signal fusion module and the layer-counting identification module, layer-counting identification is finally completed. The method is not influenced by missile-guided high-frequency signal oscillation, accurate identification can be realized when the penetration missile penetrates different targets such as multiple layers and thick targets at a high speed, and the burst point control precision is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of fuze identification, and in particular relates to a penetration fuze layer counting method and system based on geomagnetic field magnetic anomaly signals. Background Art

[0002] When penetrating ammunition strikes important military targets, traditional fuzes need to detect and process the force source information during the penetration process, and control the warhead detonation in combination with the detonation control strategy in the fuze program to destroy the target. As the offensive and defensive battlefields of future wars intensify, the protection capabilities of high-value combat targets continue to improve, such as surface and inter-layer camouflage, variable layer spacing, pseudo-cavities and other protection measures, coupled with the increase in warhead speed.

[0003] The traditional layer counting method of penetration fuze relies on the fuze overload acceleration signal to achieve layer counting, but the high-frequency oscillation signal generated during the penetration of the projectile is transmitted through the projectile and mixed with the overload acceleration signal of the fuze, making the layer penetration characteristics of the output overload signal difficult to identify or even submerged in the oscillation signal, ultimately resulting in low accuracy of the explosion point location and seriously weakening the destructive effectiveness of the warhead.

[0004] In order to solve the above technical problems, the paper "Penetration Fuze Layer Measuring Method Based on Magnetic Anomaly Detection" proposes a penetration process identification method based on geomagnetic field magnetic anomaly signals. The penetration process is identified by measuring the changes in the magnetic anomaly signals in the fuze due to the magnetization effect of the steel bars when the penetrator penetrates a target containing steel bars in the geomagnetic field environment through the magnetic sensor inside the penetration fuze. This avoids the problem of traditional penetration fuzes using acceleration sensors that are difficult to accurately identify the penetration signal due to the adhesion of high-frequency vibration response signals and rigid body overload signals. It has the advantages of not being easily affected by speed and vibration, and can achieve accurate identification when the penetrator penetrates a target plate with high protection capability at high speed.

[0005] This layer counting method relies on single-axis magnetic sensor detection, which results in low reliability and difficulty in eliminating interfering magnetic signals caused by ferromagnetic structures, wall beams, etc. during the penetration process. Summary of the invention

[0006] The purpose of the present invention is to provide a penetration fuze layer counting method and system based on geomagnetic field magnetic anomaly signals, by establishing a three-axis magnetic anomaly signal detection sensor array inside the penetration fuze, the anti-interference ability of the magnetic signal is improved, thereby achieving accurate identification of the target plate and improving the accuracy of detonation control.

[0007] The technical solution to achieve the purpose of the present invention is: the present invention proposes a method for identifying the penetration process based on the magnetic anomaly signal of the geomagnetic field, the steps are as follows:

[0008] Step 1: Establish a three-axis magnetic anomaly signal detection array: place three magnetic sensors perpendicular to each other in the tail fuze of the penetrating projectile, the sensitive direction of the first magnetic sensor is consistent with the central axis of the penetrating projectile, and the second and third magnetic sensors are in the same plane, which is perpendicular to the first magnetic sensor;

[0009] Step 2: When the penetrating projectile penetrates the target plate, a three-axis magnetic sensor array is used to detect a magnetic anomaly signal generated by a change in the magnetic field strength inside the fuze during the penetration process, and an original voltage signal converted from the magnetic anomaly signal is output;

[0010] Step 3: Send the output original voltage signal to the microcontroller, amplify the original voltage signal, and perform three-axis signal fusion processing on the amplified signal:

[0011] Step 4: The penetration process is identified using the pulse voltage signal obtained after the fusion process. Each time the projectile penetrates a layer of the target plate, a pulse signal is generated accordingly, and the layer number characteristics of the pulse signal are counted.

[0012] The present invention also proposes a penetration process identification system based on geomagnetic field magnetic anomaly signals, comprising:

[0013] Three-axis sensor array module: three single-axis magnetic sensors are placed perpendicularly to each other at the detection points inside the fuze to detect magnetic anomaly signals generated by the projectile during penetration;

[0014] Magnetic signal detection module: uses a three-axis sensor array module to detect changes in magnetic field intensity inside the fuze during the projectile penetration process, and converts the detected magnetic signal into an original voltage signal output;

[0015] Three-axis magnetic signal fusion module: inputs the original voltage signal output by the magnetic sensor into the microcontroller, amplifies the original voltage signal, fuses the amplified three-axis magnetic signal, filters out interference signals, and obtains a low-noise pulse voltage signal;

[0016] Layer identification module: Use pulse voltage signals to identify the target layer.

[0017] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the above-mentioned method for identifying the penetration process of geomagnetic field magnetic anomaly signals is implemented.

[0018] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned method for identifying the penetration process of geomagnetic field magnetic anomaly signals.

[0019] Compared with the prior art, the present invention has the following significant advantages: the present invention provides a method and system for identifying the penetration process based on the magnetic anomaly signal of the geomagnetic field. The magnetic signal sensor is constructed with three axes to prevent overfitting of the data and is less susceptible to the influence of speed, vibration, and environment. It has high protection capability when the penetrator penetrates at high speed, and can achieve more accurate identification when facing the target plate, further improving the accuracy of the layer identification and detonation control of the penetration fuze. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0021] Figure 1 It is a block diagram of the magnetically sensitive penetration meter method proposed in the present invention.

[0022] Figure 2 It is a schematic diagram of the three-axis magnetic anomaly signal detection sensor array proposed by the present invention.

[0023] Figure 3 It is a schematic diagram of the penetrating projectile penetrating a three-layer target plate and the corresponding layer penetration response signal proposed by the present invention. DETAILED DESCRIPTION

[0024] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0025] like Figure 1 As shown: A method for identifying the penetration process based on the magnetic anomaly signal of the geomagnetic field, the method specifically comprises the following steps:

[0026] Step 1: Figure 2 As shown, a three-axis magnetic anomaly signal detection array is established: three high-sensitivity magnetic sensors with a sensitivity range of 50 to 60 mV / V / Oe are placed perpendicular to each other in the tail fuze of the penetrating projectile, and the sensitive direction of one magnetic sensor is consistent with the central axis of the penetrating projectile, and the other two magnetic sensors are in the same plane, and the plane is perpendicular to the axial direction of the projectile.

[0027] Step 2: If Figure 3 As shown, taking the penetration of a three-layer target plate by a projectile as an example, the target plate layer spacing is set to 3m. During the penetration of the target plate by the penetrating projectile, the magnetic field strength inside the fuze changes with the change of the external magnetic field strength. The three-axis magnetic sensor array is used to detect the magnetic anomaly signal and output the original voltage signal.

[0028] Step 3: Send the output original voltage signal to the microcontroller, amplify the original voltage signal, and then perform three-axis signal fusion processing:

[0029] First, the data is characterized and mapped to the specified range using a linear transformation formula.

[0030]

[0031] a is the upper limit of the specified interval, b is the lower limit of the specified interval, and x min is the minimum value of the feature in the source data, x max is the maximum value of the feature in the source data, and x is the specific value in the source data;

[0032] Furthermore, the data is regularized in the following form to prevent overfitting of the data:

[0033]

[0034] is the loss function, λR(f) is the penalty function term, and m is the number of data;

[0035] Furthermore, the data is weighted and fused:

[0036] R(t)=αx i (t)*ω w (t) / T * +βk(t)*ω w (t) / T*

[0037] x i (t) is the original magnetic signal, t is the penetration time ω w (t) is the time window function, k(t) is the switch signal, α and β are weighting coefficients, and T* is the convolution time;

[0038] The influence of interference signals is filtered out through fusion processing to obtain a pulse voltage signal with lower noise.

[0039] Step 4: Use the obtained pulse voltage signal with lower noise to identify the penetration process by layer.

[0040] When simulating the penetration of a penetrating projectile into a multi-layer target plate, the present invention sets a total of 3 layers of target plates with a spacing of 3m. The thickness of the first layer of target plates is 300mm, and the thickness of the other two layers of target plates is 180mm. The coordinate origin is defined as the position of the back of the first layer of target plates, and the positive direction is the movement direction of the projectile. Figure 3 It can be seen that the penetrating projectile penetrates the three layers of target plate and the corresponding relationship between the layer-penetrating response signal and the target plate, where the horizontal axis dis is the penetration distance of the projectile and the vertical axis is the magnetic field intensity, such as Figure 3As shown in (b) and (c), before the projectile hits the target, the magnetic field signal detected by the sensor is in a relatively stable state. During the penetration of the first layer of the target, the magnetic field strength detected by the sensor first gradually decreases. When the sensor position reaches the vicinity of the steel mesh plane, the magnetic field strength detected by the sensor drops to the weakest and then increases rapidly. When the sensor is in the same plane as the steel mesh, the magnetic field strength is the largest and the magnetic signal has a peak value. After leaving the same plane position, the magnetic field strength decreases rapidly. After that, when the projectile penetrates the second and third layers of reinforced concrete target plates, the signal change pattern detected by the sensor is the same as that of the first layer of reinforced concrete target plates. In the Z-axis direction, as shown in Figure 3 As shown in (d), after the projectile head hits the target, the magnetic signal intensity rises rapidly. After it completely enters the target, the magnetic signal intensity reaches the maximum, and then the magnetic signal intensity decreases rapidly. When the sensor is close to being in the same plane as the steel mesh, the magnetic signal amplitude is the smallest. After leaving the peak position, the magnetic field intensity rises rapidly and then decreases rapidly, and then tends to the normal magnetic field intensity. After that, when the projectile penetrates the second and third layers of reinforced concrete target plates, the signal change pattern detected by the sensor is the same as that of the first layer of reinforced concrete target plates. Obvious layer number characteristics can be seen in the three-axis directions for layer counting.

[0041] The present invention also provides a penetration fuze layer counting system based on geomagnetic field magnetic anomaly signals, comprising:

[0042] The three-axis sensor array module places three single-axis magnetic sensors perpendicular to each other at the detection points inside the fuze to detect magnetic anomaly signals generated by the projectile during penetration.

[0043] The magnetic signal detection module uses a three-axis sensor array module to detect the change in magnetic field intensity in the fuze during the projectile penetration process, and converts the detected magnetic signal into a raw voltage signal output;

[0044] The three-axis magnetic signal fusion module inputs the original voltage signal output by the magnetic sensor into the microcontroller, amplifies the original voltage signal, fuses the amplified three-axis magnetic signal, filters out the interference signal, and obtains a low-noise pulse voltage signal;

[0045] The layer identification module uses pulse voltage signals to identify the target layer.

[0046] The specific implementation method of each module of the above system is the same as the aforementioned penetration fuze layer counting method, which will not be repeated here.

[0047] The above specific examples are used to illustrate the present invention in conjunction with the accompanying drawings, which is only used to help understand the present invention and is not intended to limit the present invention. For those skilled in the art of the present invention, according to the idea of ​​the present invention, several simple deductions, deformations or substitutions can be made, which all belong to the protection scope of the present invention, and the scope of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for identifying the penetration process based on geomagnetic field magnetic anomaly signals, characterized in that: The following steps are involved: Step 1: Establish a three-axis magnetic anomaly signal detection array: place three magnetic sensors perpendicular to each other in the tail fuze of the penetrating projectile, the sensitive direction of the first magnetic sensor is consistent with the central axis of the penetrating projectile, and the second and third magnetic sensors are in the same plane, which is perpendicular to the first magnetic sensor; Step 2: When the penetrating projectile penetrates the target plate, a three-axis magnetic sensor array is used to detect a magnetic anomaly signal generated by a change in the magnetic field strength inside the fuze during the penetration process, and an original voltage signal converted from the magnetic anomaly signal is output; Step 3: Send the output original voltage signal to the microcontroller, amplify the original voltage signal, and perform three-axis signal fusion processing on the amplified signal: Step 4: The penetration process is identified using the pulse voltage signal obtained after the fusion process. Each time the projectile penetrates a layer of the target plate, a pulse signal is generated accordingly, and the layer number characteristics of the pulse signal are used for layer counting and identification.

2. The penetration process identification method based on geomagnetic field magnetic anomaly signals according to claim 1 is characterized in that: The three-axis signal fusion processing in step 3 is as follows: Step 3-1: Data characterization processing; Step 3-2: Data regularization processing; Step 3-3: Data weighted fusion processing.

3. The penetration process identification method based on geomagnetic field magnetic anomaly signals according to claim 2 is characterized in that: The step 3-1: data characterization processing X' is: a is the upper limit of the specified interval, b is the lower limit of the specified interval, and x min is the minimum value of the feature in the source data, x max Table is the maximum value of the feature in the data, and x is the specific value in the source data.

4. The penetration process identification method based on geomagnetic field magnetic anomaly signals according to claim 2 is characterized in that: The step 3-2: data regularization processing J(θ) is: is the loss function, λR(f) is the penalty function term, and m is the number of data.

5. The penetration process identification method based on geomagnetic field magnetic anomaly signals according to claim 2 is characterized in that: The step 3-3: data weighted fusion processing R(t) is: R(t)=αx i (t)*ω w (t) / T * +βk(t)*ω w (t) / T* x i (t) is the original magnetic signal, t is the penetration time, ω w (t) is the time window function, k(t) is the switching signal, α and β are weighting coefficients, and T* is the convolution time.

6. A penetration process identification system based on geomagnetic field magnetic anomaly signals, characterized in that: The method for identifying the penetration process based on the geomagnetic field magnetic anomaly signal according to any one of claims 1 to 5 comprises: Three-axis sensor array module: three single-axis magnetic sensors are placed perpendicularly to each other at the detection points inside the fuze to detect magnetic anomaly signals generated by the projectile during penetration; Magnetic signal detection module: Use the three-axis sensor array module to detect the change in magnetic field intensity in the fuze during the projectile penetration process, and convert the detected magnetic signal into the original voltage signal output; Three-axis magnetic signal fusion module: inputs the original voltage signal output by the magnetic sensor into the microcontroller, amplifies the original voltage signal, fuses the amplified three-axis magnetic signal, filters out interference signals, and obtains a low-noise pulse voltage signal; Layer identification module: Use pulse voltage signals to identify the target layer.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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